Saige-Dx

JSON twin: https://www.healthaidb.com/software/saige-dx.json

Company Name

DeepHealth

Product URL

https://www.deephealth.com/saige-dx

Company URL

https://www.deephealth.com

Categories

Summary

Saige-Dx is an AI-powered software developed by DeepHealth to assist radiologists in detecting breast cancer by analyzing mammograms and providing suspicion levels for findings and cases.

Description

Saige-Dx is an FDA-cleared artificial intelligence software designed to aid radiologists in interpreting mammograms by automatically identifying suspicious lesions and assigning suspicion levels to each finding and the entire case. It processes both digital breast tomosynthesis (DBT) and 2D mammography images, enhancing diagnostic accuracy and efficiency. The software has been validated through multiple studies, demonstrating improved performance in detecting breast cancer across diverse populations and breast densities. Saige-Dx is integrated into RadNet's Enhanced Breast Cancer Detection (EBCD) service, offering advanced screening options to patients. It is compatible with various mammography systems, including GE HealthCare’s Senographe Pristina™, broadening its accessibility. The software is intended for use by interpreting physicians on screening mammograms with compatible DBT hardware, providing outputs in DICOM Structured Report and Secondary Capture formats for seamless integration into clinical workflows.

Api Available

yes

Certifications

Company Founding

2018

Company Offices

Compliance

Customers

Data Residency

US/EU regions

Data Standards

Deployment Model

Features

Id

SW0111

Integration Partners

Integrations

Languages Supported

Last Updated

2025-10-11

License

commercial

Market Segment

Optional Modules

Os Platforms

Pricing Details

contact vendor

Pricing Model

subscription

Privacy Features

Product Code

SW0111

Product Name

Saige-Dx

Ratings

Regions Available

Related Urls

Release Year

2020

Security Features

Specialties

Support Channels

System Requirements

Windows Server 2016 or later, 16 GB RAM, 500 GB HDD, 1 Gbps network

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON